It is obvious from the figure that the precision (P), recall (R), mAP50, and mAP50-95 metrics show a clear trend of improvement as the number of iterations increases during the training process.
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AFBF-YOLO: An Improved YOLO11n Algorithm for Detecting Bunch and Maturity of Cherry Tomatoes in Greenhouse Environments.
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